How we flag patterns as potential false negatives is model specific. In particular, based on our observations and the results [1]}, we expect dependable separation of \(X^\text{d}\)  cells into interstripes in ABM [2]} patterns. Thus, we suspect that the eight out of 1000 ABM patterns that are classified as unbroken, yet led to removal of some positive number of \(X^\text{d}\)  cells in Step 4, are, in fact, broken. As we show in Figures REF (c)–(d) for two examples among these eight patterns, this is indeed the case. The eight ABM false negatives occur because \(B_\text{ABM}\)  is just large enough so that the number of stripes from either the perspective of \(X^\ell \)  or \(M\)  cells in Eqns. (REF ) or (REF ) is two, allowing the narrow gaps in Figures REF (c)–(d) to pass by undetected. As a result, interstripes that are actually connected by a bridge are forced into three clusters, and the result is haphazard removal of \(X^\text{d}\)  cells in Step 4.
